Statistical power of phylo-HMM for evolutionarily conserved element detection |
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| Authors: | Xiaodan Fan Jun Zhu Eric E Schadt Jun S Liu |
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| Affiliation: | (1) Department of Statistics, Harvard University, Boston, MA, USA;(2) Genetics, Rosetta Inpharmatics LLC, a wholly owned subsidiary of Merck & Co., Inc, Seattle, WA, USA |
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| Abstract: | Background An important goal of comparative genomics is the identification of functional elements through conservation analysis. Phylo-HMM was recently introduced to detect conserved elements based on multiple genome alignments, but the method has not been rigorously evaluated. |
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